• DocumentCode
    2238970
  • Title

    Projection-Based Utility Mining with an Efficient Indexing Mechanism

  • Author

    Lan, Guo-Cheng ; Hong, Tzung-Pei ; Tseng, Vincent S.

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2010
  • fDate
    18-20 Nov. 2010
  • Firstpage
    137
  • Lastpage
    141
  • Abstract
    In this paper, we propose an efficient mining approach which adopts an indexing mechanism to speed up the execution efficiency and reduce the memory requirement in the utility mining process. Besides, a pruning strategy is designed to reduce the number of unpromising itemsets for mining. The experimental results also show the performance of the proposed approach is better than that of traditional two-phase utility mining algorithm under different parameters.
  • Keywords
    data mining; indexing; indexing mechanism; projection-based utility mining process; pruning strategy; two-phase utility mining algorithm; Data mining; high transaction-weighted utilization itemsets; high utility itemsets; utility mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies and Applications of Artificial Intelligence (TAAI), 2010 International Conference on
  • Conference_Location
    Hsinchu City
  • Print_ISBN
    978-1-4244-8668-7
  • Electronic_ISBN
    978-0-7695-4253-9
  • Type

    conf

  • DOI
    10.1109/TAAI.2010.32
  • Filename
    5695444